An Algorithm for 2-D DOA Source Parameters Estimate Based on Multistage Wiener Filters

A method for 2-dimension DOA source parameter estimation based on MSWF (multistage Wiener filters) is proposed in this paper contrasted to the computational complexity increasing in MUSIC algorithm. The presented method does not require the formation of the covariance matrix and its eigen decomposition or singular value decomposition, and it can estimate azimuths, elevations and the numbers of the source at the same time, thereby having the advantage in precision and computational complexity. So the advantage of presented method is evidently especially having more numbers of arrays and snapshots. Some computer simulation results are provided to illustrate the performance of the algorithm